Exact Expressions for Dependence Measures of Bivariate Extreme Value Copulas

Extreme value copulas are important because they model the dependence structure between extreme events, allowing for accurate risk assessment in fields such as finance, insurance, and environmental studies. In this paper, we derive exact expressions for four of the most popular dependence measures of bivariate extreme value copulas and check their correctness numerically. Over twenty families of bivariate extreme value copulas are considered.

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Publication Details

Journal
OICC Press Journals
Published
2025-08-24
DOI
https://doi.org/10.57647/mathsci.2025.1903.12
Primary Topic
Financial Risk and Volatility Modeling
Type
article
Field-Weighted Citation Impact
0.00
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article

Exact Expressions for Dependence Measures of Bivariate Extreme Value Copulas

Victor Mooto Nawa, Adamu Abubakar Umar, Saralees Nadarajah
OICC Press Journals
Financial Risk and Volatility Modeling
article

Exact Expressions for Dependence Measures of Bivariate Extreme Value Copulas

Victor Mooto Nawa, Adamu Abubakar Umar, Saralees Nadarajah
article en

Abstract

Extreme value copulas are important because they model the dependence structure between extreme events, allowing for accurate risk assessment in fields such as finance, insurance, and environmental studies. In this paper, we derive exact expressions for four of the most popular dependence measures of bivariate extreme value copulas and check their correctness numerically. Over twenty families of bivariate extreme value copulas are considered.

OICC Press Journals
Ahmadu Bello University (NG), University of Manchester (GB), University of Zambia (ZM)
Decent work and economic growth
Openalex Percentile: Top 24%
Financial Risk and Volatility Modeling
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